Refine lib -> xautodl
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- [2020.09.16] [7052265] Create NATS-BENCH.
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- [2020.10.15] [446262a](https://github.com/D-X-Y/AutoDL-Projects/tree/446262a) Update NATS-BENCH to version 1.0
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- [2020.12.20] [dae387a](https://github.com/D-X-Y/AutoDL-Projects/tree/dae387a) Update NATS-BENCH to version 1.1
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- [2021.05.18] [98fadf8](https://github.com/D-X-Y/AutoDL-Projects/tree/98fadf8086727f6311d477d0e4f2d5bb7e41ca59) Before moving to `xautodl`
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- [2021.05.18] [98fadf8](https://github.com/D-X-Y/AutoDL-Projects/tree/98fadf8) Before moving to `xautodl`
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- [2021.05.19] [129c9e5](https://github.com/D-X-Y/AutoDL-Projects/tree/129c9e5) `xautodl` is close to ready
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@ -11,7 +11,7 @@ Experiments on CIFAR-10, CIFAR-100, ImageNet, PTB, and WT2 are reported.
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## Requirements and Preparation
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Please install `Python>=3.6` and `PyTorch>=1.2.0`.
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Please install `Python>=3.6` and `PyTorch>=1.5.0`.
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CIFAR and ImageNet should be downloaded and extracted into `$TORCH_HOME`.
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def version():
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versions = ["0.9.9"] # 2021.05.18
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versions = ["0.9.9"] # 2021.05.19
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return versions[-1]
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@ -11,7 +11,7 @@ import torch.nn as nn
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from ..cell_operations import ResNetBasicblock
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from ..cell_infers.cells import InferCell
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from .shape_searchs.SoftSelect import select2withP, ChannelWiseInter
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from .SoftSelect import select2withP, ChannelWiseInter
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class GenericNAS301Model(nn.Module):
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